Annotating whole genome variants and constructing a multi-classifier based on samples of ADNI

Annotating whole genome variants and constructing a multi-classifier based on samples of ADNI

Introduction: Alzheimer’s disease (AD) is the most common progressive neurodegenerative disorder in the elderly, which will eventually lead to dementia without an effective precaution and treatment. As a typical complex disease, the mechanism of AD’s occurrence and development still lacks sufficient...

Full description

Bibliographic Details
Main Authors:	Juan Zhou, Yangping Qiu, Xiangyu Liu, Ziruo Xie, Shanguo Lv, Yuanyuan Peng, Xiong Li
Format:	Article
Language:	English
Published:	IMR Press 2022-01-01
Series:	Frontiers in Bioscience-Landmark
Subjects:	unbalanced data multi-class classification multi-objective optimization
Online Access:	https://www.imrpress.com/journal/FBL/27/1/10.31083/j.fbl2701037

Similar Items

Data imbalance in cardiac health diagnostics using CECG-GAN
by: Yang Yang, et al.
Published: (2024-06-01)

Developing a multi-classifier system to classify OSM tags based on centrality parameters
by: Sajjad Hassany Pazoky, et al.
Published: (2021-12-01)

Probabilistic Confusion Entropy for Evaluating Classifiers
by: Hai-Wei Zhang, et al.
Published: (2013-11-01)

Experimental Study and Comparison of Imbalance Ensemble Classifiers with Dynamic Selection Strategy
by: Dongxue Zhao, et al.
Published: (2021-06-01)

AEC_GAN: Unbalanced Data Processing Decision-Making in Network Attacks Based on ACGAN and Machine Learning
by: Naibo Zhu, et al.
Published: (2023-01-01)

Skimming Digits: Neuromorphic Classification of Spike-Encoded Images
by: Gregory Kevin Cohen, et al.
Published: (2016-04-01)

A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis
by: Abdul Sattar Palli, et al.
Published: (2022-01-01)

Ensemble Classifier Based on Interval Modeling for Microarray Datasets
by: Urszula Bentkowska, et al.
Published: (2024-03-01)

Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches
by: Ivan Matvienko, et al.
Published: (2022-11-01)

Use of Multi-Date and Multi-Spectral UAS Imagery to Classify Dominant Tree Species in the Wet Miombo Woodlands of Zambia
by: Hastings Shamaoma, et al.
Published: (2023-02-01)

PMLPNet: Classifying Multi-Class Pests in Wild Environment via a Novel Convolutional Neural Network
by: Liangliang Liu, et al.
Published: (2024-08-01)

Prediction and Trading in Crude Oil Markets Using Multi-Class Classification and Multi-Objective Optimization
by: Shangkun Deng, et al.
Published: (2019-01-01)

Multicriteria Classifier Ensemble Learning for Imbalanced Data
by: Weronika Wegier, et al.
Published: (2022-01-01)

Ensembles of deep one-class classifiers for multi-class image classification
by: Alexander Novotny, et al.
Published: (2025-03-01)

An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions
by: Nazia Hameed, et al.
Published: (2019-08-01)

Nature-inspired algorithms for feed-forward neural network classifiers: A survey of one decade of research
by: Ashraf Mohamed Hemeida, et al.
Published: (2020-09-01)

Optimal Net Load Flattening in Unbalanced Distribution Systems via Rank-Penalized Semidefinite Programming
by: Ibrahim Alsaleh, et al.
Published: (2023-01-01)

The Effect of Best First and Spreadsubsample on Selection of a Feature Wrapper With Naïve Bayes Classifier for The Classification of the Ratio of Inpatients
by: M Rizky Wijaya, et al.
Published: (2016-11-01)

Architecture for Automatic Recognition of Group Activities Using Local Motions and Context
by: Luis Felipe Borja-Borja, et al.
Published: (2022-01-01)

A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases
by: Shweta Lamba, et al.
Published: (2023-09-01)

A Multi-Clustering Algorithm to Solve Driving Cycle Prediction Problems Based on Unbalanced Data Sets: A Chinese Case Study
by: Yuewei Wu, et al.
Published: (2020-04-01)

A novel bayesian network-based ensemble classifier chains for multi-label classification
by: Zhenwu Wang, et al.
Published: (2024-07-01)

Topological embedding and directional feature importance in ensemble classifiers for multi-class classification
by: Eloisa Rocha Liedl, et al.
Published: (2024-12-01)

FWFS: Selecting Robust Features Towards Reliable and Stable Traffic Classifier in SDN
by: Fatimah Audah Md. Zaki, et al.
Published: (2019-01-01)

An Effective Recursive Technique for Multi-Class Classification and Regression for Imbalanced Data
by: Tahira Alam, et al.
Published: (2019-01-01)

Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier
by: Ghazanfar Latif, et al.
Published: (2022-04-01)

Multi-Classifier Pipeline for Olive Groves Detection
by: Priscilla Indira Osa, et al.
Published: (2022-12-01)

An Ensemble of Kernel Ridge Regression for Multi-class Classification
by: Suganthan, Ponnuthurai Nagaratnam, et al.
Published: (2018)

KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise
by: Arjun Pakrashi, et al.
Published: (2020-01-01)

Identifying Essential Methylation Patterns and Genes Associated With Stroke
by: Xiangtian Yu, et al.
Published: (2020-01-01)

How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations
by: Fanny Jourdan, et al.
Published: (2023-03-01)

Support Vector Machine Procedure as a Data Mining Multi-class Classifier
by: Zakariya Y. Algamal
Published: (2012-12-01)

Combining Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) and Hybrid Sampling in Handling Multi-Class Imbalance and Overlapping
by: Hartono Hartono, et al.
Published: (2021-03-01)

Soil Sampling Map Optimization with a Dual Deep Learning Framework
by: Tan-Hanh Pham, et al.
Published: (2024-03-01)

Why Is Multiclass Classification Hard?
by: Pablo Del Moral, et al.
Published: (2022-01-01)

PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes
by: Lei Chen, et al.
Published: (2024-01-01)

M<span style="font-variant: small-caps">alw</span>D&C: A Quick and Accurate Machine Learning-Based Approach for Malware Detection and Categorization
by: Attaullah Buriro, et al.
Published: (2023-02-01)

A Feature Selection Based Serial SVM Ensemble Classifier
by: Jianjun Cao, et al.
Published: (2019-01-01)

MLCM: Multi-Label Confusion Matrix
by: Mohammadreza Heydarian, et al.
Published: (2022-01-01)

Using the one–versus–rest strategy with samples balancing to improve pairwise coupling classification
by: Chmielnicki Wiesław, et al.
Published: (2016-03-01)